Accession Number:

AD0670845

Title:

THE INFLUENCE OF NETWORK STRUCTURE ON THE PERFORMANCE OF LEARNING SYSTEMS,

Descriptive Note:

Corporate Author:

BELL AEROSPACE CORP BUFFALO N Y

Personal Author(s):

• Goerner,Johannes G.
• Gerhardt,Lester A.
• Drake,Kenneth W.
• Cadzow,James A.
• Powell,Frederic D.

Report Date:

1967-10-31

Pagination or Media Count:

92.0

Abstract:

The report summarizes research on means for improving the discrimination capability of linear single-gain layer networks. Improvements are considered via a nonlinear pre-processors, such as the AD converter, the quantizer, and other encoders, the generation of functionals of the individual pattern components, and b cascading of these networks. All result essentially in introducing a nonlinear decision surface instead of the decision hyperplane as defined by a linear net. Significant improvements are obtainable that widen the application of such networks to practical problems. As an example, the modeling of an air cushion vehicle is discussed. Author

Descriptors:

• (*LEARNING MACHINES
• MATHEMATICAL LOGIC)
• DECISION THEORY
• ADAPTIVE SYSTEMS
• PROBABILITY DENSITY FUNCTIONS
• CLASSIFICATION
• OPTIMIZATION
• PATTERN RECOGNITION
• GROUND EFFECT MACHINES

Subject Categories:

• Computer Programming and Software
• Bionics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE